Lists (19)
Stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
StableLM: Stability AI Language Models
This repository contains implementations and illustrative code to accompany DeepMind publications
This repository contains demos I made with the Transformers library by HuggingFace.
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
A course on aligning smol models.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Acceptance rates for the major AI conferences
Jupyter notebooks for the Natural Language Processing with Transformers book
TensorFlow Basic Tutorial Labs
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…